Data Mining, Deep Learning, and Generative AI with R
Language: English
Published by Independently published, 2026
- Softcover
- New

Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
US$ 22.70
Quantity: Over 20 available
Add to basketItem description from seller
Seller Inventory # L2-9798186955962
- Title
- Data Mining, Deep Learning, and Generative AI with R
- Author
- Biswas, Ayan
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798186955962
- Item weight
- 142 grams
Whether you're a student beginning your data science journey, a researcher conducting advanced analytics, or a working professional building enterprise AI solutions, this book provides a practical, hands-on roadmap to mastering data mining, machine learning, deep learning, and Generative AI using R.
Unlike traditional R programming books that focus only on syntax or statistical theory, this comprehensive guide bridges the gap between academic concepts and real-world enterprise applications. Through practical examples, industry case studies, and production-ready R code, you'll learn how modern AI solutions are designed, developed, and deployed.
Inside this book, you'll explore:
- Build a strong foundation in R programming for data analytics and AI.
- Understand regression, classification, clustering, and dimensionality reduction techniques.
- Implement decision trees, random forests, boosting, K-Nearest Neighbors, Naïve Bayes, and association rule mining.
- Develop deep learning models using neural networks, TensorFlow, and Keras in R.
- Learn the fundamentals of Generative AI, Large Language Models (LLMs), prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).
- Apply AI techniques to real-world business problems in banking, healthcare, retail, and customer analytics.
- Evaluate model performance using industry-standard metrics and best practices.
- Explore Responsible AI, model governance, and enterprise AI implementation strategies.
What makes this book different?
- Practical, project-based learning approach
- Enterprise-focused AI and analytics use cases
- Step-by-step explanations suitable for beginners and professionals
- Modern coverage of Deep Learning and Generative AI with R
- Interview questions, exercises, and real-world case studies
- Designed for both academic learning and industry application
Who should read this book?
Data Scientists
AI & Machine Learning Engineers
Data Analysts
Business Analysts
University Students
Researchers and Doctoral Candidates
Software Engineers
Banking and Financial Analytics Professionals
Anyone looking to transition into Data Science and Artificial Intelligence using R
Whether your goal is to build predictive models, create intelligent applications, or understand the future of enterprise AI, this book equips you with the knowledge, practical skills, and confidence to transform data into intelligent decisions.
Start your journey today—from statistical learning to enterprise-ready AI—with one of the world's most powerful open-source programming languages.
"Synopsis" may belong to another edition of this title.
PBShop.store US
Wood Dale, IL, U.S.A.
AbeBooks seller since April 7, 2005
Shipping rates within U.S.A.
| Item | 7 to 14 business days | 7 to 14 business days |
|---|---|---|
| First item | US$ 0.00 | US$ 0.00 |
Payment methods
Store description
Specialty
Hardbacks, PaperbacksSeller's business information
Pbshop.co.uk Ltd
Unit 22 Horcott Industrial Estate, Horcott Road
Fairford, United Kingdom GL7 4BX
Terms of sale
Returns Policy
We ask all customers to contact us for authorisation should they wish to return their order. Orders returned without authorisation may not be credited.
If you wish to return, please contact us within 14 days of receiving your order to obtain authorisation.
Returns requested beyond this time will not be authorised.
Our team will provide full instructions on how to return your order and once received our returns department will process your refund.
Please note the cost to return any unwanted order to us is borne by the buyer.
Should your order arrive damaged, not as advertised or faulty, we must be advised of this within 14 days of delivery. Please contact us so we can find the best solution for you.
Our Customer Care Team can be contacted via emailing paperback-us@paperbackshop.co.uk, or by calling our UK Office on +441285 712 917. We are available 9:00am till 5:30pm GMT weekdays and 9:00am till 1:00pm GMT on Saturdays.
Shipping terms
Books are shipped from UK warehouse. Delivery thereafter is between 4 and 14 business days dependant upon your location - please do contact us with any queries you may have.